class_docstr: Convert a PIL image to Multi-resolution Crops.
  The input is a PIL image and output is the list of image crops.
  
  This transform was proposed in SwAV - https://arxiv.org/abs/2006.09882
docstr: Instantiates ImgPilToMultiCrop from configuration.
  
  Args:
      config (Dict): arguments for for the transform
  
  Returns:
      ImgPilToMultiCrop instance.
docstr_tok: ["Instantiates","ImgPilToMultiCrop","from","configuration",".","Args",":","config","(","Dict",")",":","arguments","for","for","the","transform","Returns",":","ImgPilToMultiCrop","instance","."]
code: def from_config(cls, config: Dict[str, Any]) -> "ImgPilToMultiCrop":
      """
      Instantiates ImgPilToMultiCrop from configuration.
  
      Args:
          config (Dict): arguments for for the transform
  
      Returns:
          ImgPilToMultiCrop instance.
      """
      return cls(**config)
  
file_path: vissl/vissl/data/ssl_transforms/img_pil_to_multicrop.py
imports: from typing import Any, Dict, List, Sequence
  import numpy
  import torchvision.transforms
  from classy_vision.dataset.transforms import register_transform
  from classy_vision.dataset.transforms.classy_transform import ClassyTransform
  from PIL import Image
label_desc: Use image node_id 3 for calling the ImgPilToMultiCrop obj's underlying member method code with example usage: obj.from_config(cls, config) and returns: cls